Planet SIMS

Spatial Resolution
Data Source(s)
Science Partner


Planet is a private earth imaging company who provides daily global coverage of the earth at high spatial resolution. Daily images are composted into a weekly basemap based on image quality. Data is collected using a constellation of over 150 individual satellites called doves. Currently, three generations of doves are used in this dataset: Dove-Classic, Dove-R, and SuperDove. Planet data is available using surface reflectance.

SIMS provides actual evapotranspiration (ETa) estimates for agricultural areas. This product is based on the evapotranspiration (ET) model Satellite Irrigation Management Support (SIMS) developed by Melton et al 2012. ET data is useful for evaluation consumptive use estimates in surface water and groundwater dependent agricultural regions.

SIMS utilizes satellite imagery and the United States Department of Agriculture Cropland Data Layers as input for the SIMS model. This model uses the normalized difference vegetative index (NDVI) in conjunction with crop type to estimate a fraction of reference ET (ETf) which is used to convert reference ET to ETa. ETf is linearly interpolated between available images and applied to a grass reference ET time series sourced from GridMET (Abatzoglou 2012) resulting in a time series of daily ETa images.

Technical Information

Period of Record
Spatial Resolution
3-5m (latitude dependent)
Temporal Resolution
Weekly composite of daily images
Data Summaries
max, min, mean, median, anomalies, trend and statistical significance, spatial and temporal aggregations, time series
Data Source(s)
Data Formats
raster (geotiff), raster tile (tile ID), time series (.csv, .xls, .json, .geojson)

Abatzoglou, J. T. (2013). Development of gridded surface meteorological data for ecological applications and modelling. International Journal of Climatology, 33(1), 121-131.

Melton, F. S., Johnson, L. F., Lund, C. P., Pierce, L. L., Michaelis, A. R., Hiatt, S. H., … & Votava, P. (2012). Satellite irrigation management support with the terrestrial observation and prediction system: a framework for integration of satellite and surface observations to support improvements in agricultural water resource management. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5(6), 1709-1721.

USDA National Agricultural Statistics Service Cropland Data Layer. Available at

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